Cloud computing adoption provides various advantages for companies. In particular, hybrid cloud shares the advantages of both the public and private cloud technologies because it combines the private in-house cloud with the public on-demand cloud. In order to obtain benefits from the opportunities provided by the hybrid cloud, organizations want to adopt or develop novel capabilities. Maturity models have proved to be an exceptional and easily available method for evaluating and improving capabilities. However, there is a dire need for a robust framework that helps client organizations in the adoption and assessment of hybrid cloud. Therefore, this research paper aims to present a taxonomy of the challenging factors faced by client organizations in the adoption of hybrid cloud. Typically, such a taxonomy is presented on the basis of obtained results from the empirical analysis with the execution of analytical hierarchy process (AHP) method. From the review of literature and empirical study, in total 13 challenging factors are recognized and plotted into four groups: “Lack of Inclination,” “Lack of Readiness,” “Lack of Adoption,” and “Lack of Satisfaction.” The AHP technique is executed to prioritize the identified factors and their groups. By this way, we found that “Lack of Adoption” and “Lack of Satisfaction” are the most significant groups from the identified challenging factors. Findings from AHP also show that “public cloud security concern” and “achieving QoS” are the upper ranking factors confronted in the adoption of hybrid cloud mechanism by client organizations because their global weight (0.201) is greater than those of all the other reported challenging factors. We also found out 46 practices to address the identified challenges. The taxonomy developed in this study offers a comprehensive structure for dealing with hybrid cloud computing issues, which is essential for the success and advancement of client and vendor organizations in hybrid cloud computing relationships.

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采用混合云计算的挑战及其实践：层次分析法

采用云计算为公司提供了各种优势。特别是混合云兼具公有云和私有云技术的优势，因为它结合了私有内部云和公共按需云。为了从混合云提供的机会中获益，组织希望采用或开发新功能。成熟度模型已被证明是一种用于评估和改进能力的特殊且易于使用的方法。但是，迫切需要一个强大的框架来帮助客户组织采用和评估混合云。因此，本研究论文旨在对客户组织在采用混合云时面临的挑战因素进行分类。通常，这种分类法是基于从执行层次分析法 (AHP) 方法的经验分析中获得的结果而提出的。从文献回顾和实证研究中，共识别出 13 个具有挑战性的因素，并将其分为四组：“缺乏倾向”、“缺乏准备”、“缺乏采用”和“缺乏满足感”。执行 AHP 技术以优先考虑已识别的因素及其组。通过这种方式，我们发现“缺乏采用”和“缺乏满意度”是确定的挑战因素中最重要的群体。AHP 的调查结果还表明，“公共云安全问题”和“实现 QoS”是客户组织在采用混合云机制时面临的排名靠前的因素，因为它们的全局权重 (0. 201) 大于所有其他报告的挑战因素。我们还发现了 46 种做法来应对已确定的挑战。本研究中开发的分类法为处理混合云计算问题提供了一个综合结构，这对于混合云计算关系中客户和供应商组织的成功和发展至关重要。